Dify is an open-source, production-ready LLM application development platform engineered to significantly accelerate the entire development cycle from prototype to production. It offers an intuitive visual workflow canvas, integrating a powerful Retrieval Augmented Generation (RAG) pipeline for efficient document ingestion and retrieval. Dify also features advanced agent capabilities based on LLM Function Calling or ReAct, configurable with pre-built or custom tools. It provides comprehensive support for hundreds of mainstream proprietary and open-source LLMs, a robust Prompt IDE for prompt engineering and model performance comparison, and built-in observability features (e.g., Opik, Langfuse, Arize Phoenix). This empowers developers to rapidly build, deploy, and monitor complex AI applications and agents.
agentmemory provides persistent memory for AI coding agents including OpenClaw, Cursor, and Claude Code. Built on the iii engine, it captures agent activities and compresses them into searchable memories using hybrid search and knowledge graphs. It eliminates the need for repeated context setting across sessions. By utilizing local embeddings with zero external database dependencies, it achieves 95.2% retrieval accuracy while reducing token costs by over 92%, enabling agents to 'remember' across different platforms and sessions.